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Mistral AI

Open-weight LLMs and enterprise AI deployment

Senior Product Marketing Manager - Industries

Product MarketingConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in industry solutions, product, or growth marketing, with experience in SaaS, AI, or enterprise technology.
  • A proven track record of launching industry-specific go-to-market strategies and content.
  • Ability to simplify complex technical value for diverse audiences.
  • Experience aligning cross-functional Product, Sales, and Marketing teams.

Responsibilities

  • Own Industries Marketing for high-priority verticals such as manufacturing and finance, driving messaging, positioning, and go-to-market content.
  • Develop and launch complete go-to-market collateral, including pitch decks, sales enablement, blogs, and web pages.
  • Drive integrated campaigns to educate and engage target audiences, supporting demand generation and pipeline growth.
  • Partner with global Product, Forward Deployed Engineers, Sales, and Marketing teams to design, activate, and refine industry-specific solutions.
  • Channel market and customer feedback to shape product and go-to-market strategy.
  • Create scalable, repeatable use cases and content, including demos and case studies, to empower field teams.
  • Act as a go-to partner for sales and Forward Deployed Engineer teams, ensuring consistent, compelling industry narratives.
  • Monitor industry trends and competitive dynamics to inform product and solutions planning.
  • Identify and scale repeatable solutions content to accelerate deal cycles.

Desired Qualifications

  • Familiarity with global systems integrators and partner ecosystems.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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